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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 12098
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    Explanations

    variations of the verb "to do" in multiple languages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    verbs for doing or making

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arangay
    -0.52
    StatusOK
    -0.51
     všem
    -0.50
    parsedMessage
    -0.49
     '{@
    -0.49
    "$_
    -0.47
     nakalista
    -0.47
     enfans
    -0.47
    ::$_
    -0.46
    ranes
    -0.46
    POSITIVE LOGITS
    ทำ
    1.29
     yap
    1.20
    Yap
    1.05
     Yap
    1.03
     ทำ
    0.92
     made
    0.75
    做的
    0.75
     Made
    0.75
     make
    0.74
     Making
    0.73
    Activations Density 0.001%

    No Known Activations